Research Article

Determining the Optimum Cutting Tool Geometry for Machining Al 7075 Alloy: A Statistical Approach

Volume: 14 Number: 1 June 27, 2026
TR EN

Determining the Optimum Cutting Tool Geometry for Machining Al 7075 Alloy: A Statistical Approach

Abstract

This study investigates the effects of tool geometry and cutting parameters on cutting forces in milling Al 7075 alloy, which is frequently preferred in the aerospace and automotive industries due to its high strength-to-weight ratio. Three-flute carbide end mills were specially manufactured with varying combinations of clearance angle (8°, 10°, 12°) and rake angle (14°, 18°, 22°). The experimental process used a Taguchi L9 orthogonal array with clearance angle, rake angle, and cutting speed (70, 85, 100 m/min) as control factors. Variance analysis (ANOVA) showed that cutting speed had the largest contribution ratio (40%) to cutting forces, with results serving as exploratory trend indicators. Signal-to-Noise (S/N) analysis identified 8° clearance angle, 18° rake angle, and 100 m/min cutting speed as the optimum combination for minimum cutting force. The lowest resultant cutting force measured was 469.72 N. The findings indicate that combining a small rake angle with a high cutting speed reduces cutting resistance and improves machining efficiency.

Keywords

Supporting Institution

Chair of the Scientific Research Projects (BAP) Commission at Sakarya University of Applied Sciences (Project No: 130-2023)

Ethical Statement

No ethical approval is required for this study.

Thanks

We would like to express our gratitude to the Sakarya University of Applied Sciences Scientific Research Projects Coordination Unit (BAPK) for supporting project number 202-2024 in the execution of this study.

References

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Details

Primary Language

English

Subjects

Mechanical Engineering (Other)

Journal Section

Research Article

Early Pub Date

June 24, 2026

Publication Date

June 27, 2026

Submission Date

February 11, 2026

Acceptance Date

June 18, 2026

Published in Issue

Year 2026 Volume: 14 Number: 1

APA
Boz, H., Seçgin, Ö., & Özsert, İ. (2026). Determining the Optimum Cutting Tool Geometry for Machining Al 7075 Alloy: A Statistical Approach. Mus Alparslan University Journal of Science, 14(1), 106-113. https://doi.org/10.18586/msufbd.1886552
AMA
1.Boz H, Seçgin Ö, Özsert İ. Determining the Optimum Cutting Tool Geometry for Machining Al 7075 Alloy: A Statistical Approach. Mus Alparslan University Journal of Science. 2026;14(1):106-113. doi:10.18586/msufbd.1886552
Chicago
Boz, Hasan, Ömer Seçgin, and İbrahim Özsert. 2026. “Determining the Optimum Cutting Tool Geometry for Machining Al 7075 Alloy: A Statistical Approach”. Mus Alparslan University Journal of Science 14 (1): 106-13. https://doi.org/10.18586/msufbd.1886552.
EndNote
Boz H, Seçgin Ö, Özsert İ (June 1, 2026) Determining the Optimum Cutting Tool Geometry for Machining Al 7075 Alloy: A Statistical Approach. Mus Alparslan University Journal of Science 14 1 106–113.
IEEE
[1]H. Boz, Ö. Seçgin, and İ. Özsert, “Determining the Optimum Cutting Tool Geometry for Machining Al 7075 Alloy: A Statistical Approach”, Mus Alparslan University Journal of Science, vol. 14, no. 1, pp. 106–113, June 2026, doi: 10.18586/msufbd.1886552.
ISNAD
Boz, Hasan - Seçgin, Ömer - Özsert, İbrahim. “Determining the Optimum Cutting Tool Geometry for Machining Al 7075 Alloy: A Statistical Approach”. Mus Alparslan University Journal of Science 14/1 (June 1, 2026): 106-113. https://doi.org/10.18586/msufbd.1886552.
JAMA
1.Boz H, Seçgin Ö, Özsert İ. Determining the Optimum Cutting Tool Geometry for Machining Al 7075 Alloy: A Statistical Approach. Mus Alparslan University Journal of Science. 2026;14:106–113.
MLA
Boz, Hasan, et al. “Determining the Optimum Cutting Tool Geometry for Machining Al 7075 Alloy: A Statistical Approach”. Mus Alparslan University Journal of Science, vol. 14, no. 1, June 2026, pp. 106-13, doi:10.18586/msufbd.1886552.
Vancouver
1.Hasan Boz, Ömer Seçgin, İbrahim Özsert. Determining the Optimum Cutting Tool Geometry for Machining Al 7075 Alloy: A Statistical Approach. Mus Alparslan University Journal of Science. 2026 Jun. 1;14(1):106-13. doi:10.18586/msufbd.1886552